Class/Object

ai.catboost.spark

CatBoostRegressor

Related Docs: object CatBoostRegressor | package spark

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class CatBoostRegressor extends CatBoostRegressorBase[Vector, CatBoostRegressor, CatBoostRegressionModel] with CatBoostPredictorTrait[CatBoostRegressor, CatBoostRegressionModel] with RegressorTrainingParamsTrait

Class to train CatBoostRegressionModel The default optimized loss function is RMSE

Examples

Basic example.

val spark = SparkSession.builder()
  .master("local[*]")
  .appName("RegressorTest")
  .getOrCreate();

val srcDataSchema = Seq(
  StructField("features", SQLDataTypes.VectorType),
  StructField("label", StringType)
)

val trainData = Seq(
  Row(Vectors.dense(0.1, 0.2, 0.11), "0.12"),
  Row(Vectors.dense(0.97, 0.82, 0.33), "0.22"),
  Row(Vectors.dense(0.13, 0.22, 0.23), "0.34"),
  Row(Vectors.dense(0.8, 0.62, 0.0), "0.1")
)

val trainDf = spark.createDataFrame(spark.sparkContext.parallelize(trainData), StructType(srcDataSchema))
val trainPool = new Pool(trainDf)

val evalData = Seq(
  Row(Vectors.dense(0.22, 0.33, 0.9), "0.1"),
  Row(Vectors.dense(0.11, 0.1, 0.21), "0.9"),
  Row(Vectors.dense(0.77, 0.0, 0.0), "0.72")
)

val evalDf = spark.createDataFrame(spark.sparkContext.parallelize(evalData), StructType(srcDataSchema))
val evalPool = new Pool(evalDf)

val regressor = new CatBoostRegressor
val model = regressor.fit(trainPool, Array[Pool](evalPool))
val predictions = model.transform(evalPool.data)
predictions.show()

Example with alternative loss function.

...<initialize trainPool, evalPool>
val regressor = new CatBoostRegressor().setLossFunction("MAE")
val model = regressor.fit(trainPool, Array[Pool](evalPool))
val predictions = model.transform(evalPool.data)
predictions.show()

Serialization

Supports standard Spark MLLib serialization. Data can be saved to distributed filesystem like HDFS or local files.

Examples:

Save:

val regressor = new CatBoostRegressor().setLossFunction("MAE")
val path = "/home/user/catboost_regressors/regressor0"
regressor.write.save(path)

Load:

val path = "/home/user/catboost_regressors/regressor0"
val regressor = CatBoostRegressor.load(path)
val trainPool : Pool = ... init Pool ...
val model = regressor.fit(trainPool)
Linear Supertypes
RegressorTrainingParamsTrait, TrainingParamsTrait, QuantizationParamsTrait, ThreadCountParams, IgnoredFeaturesParams, CatBoostPredictorTrait[CatBoostRegressor, CatBoostRegressionModel], DefaultParamsWritable, MLWritable, DatasetParamsTrait, HasWeightCol, CatBoostRegressorBase[Vector, CatBoostRegressor, CatBoostRegressionModel], Regressor[Vector, CatBoostRegressor, CatBoostRegressionModel], Predictor[Vector, CatBoostRegressor, CatBoostRegressionModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[CatBoostRegressionModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CatBoostRegressor
  2. RegressorTrainingParamsTrait
  3. TrainingParamsTrait
  4. QuantizationParamsTrait
  5. ThreadCountParams
  6. IgnoredFeaturesParams
  7. CatBoostPredictorTrait
  8. DefaultParamsWritable
  9. MLWritable
  10. DatasetParamsTrait
  11. HasWeightCol
  12. CatBoostRegressorBase
  13. Regressor
  14. Predictor
  15. PredictorParams
  16. HasPredictionCol
  17. HasFeaturesCol
  18. HasLabelCol
  19. Estimator
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CatBoostRegressor()

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  2. new CatBoostRegressor(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. def addEstimatedCtrFeatures(quantizedTrainPool: Pool, quantizedEvalPools: Array[Pool], catBoostJsonParams: JObject): (Pool, Array[Pool], CtrsContext)

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    returns

    (preprocessedTrainPool, preprocessedEvalPools, ctrsContext)

    Attributes
    protected
    Definition Classes
    CatBoostPredictorTrait
  6. final val allowConstLabel: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  7. final val allowWritingFiles: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  8. final val approxOnFullHistory: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  10. final val baggingTemperature: FloatParam

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    Definition Classes
    TrainingParamsTrait
  11. final val bestModelMinTrees: IntParam

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    Definition Classes
    TrainingParamsTrait
  12. final val bootstrapType: EnumParam[EBootstrapType]

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    Definition Classes
    TrainingParamsTrait
  13. final val borderCount: IntParam

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    Definition Classes
    QuantizationParamsTrait
  14. final def clear(param: Param[_]): CatBoostRegressor.this.type

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    Definition Classes
    Params
  15. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. def copy(extra: ParamMap): CatBoostRegressor

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    Definition Classes
    CatBoostRegressor → Predictor → Estimator → PipelineStage → Params
  17. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  18. def createModel(nativeModel: TFullModel): CatBoostRegressionModel

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    Attributes
    protected
    Definition Classes
    CatBoostRegressorCatBoostPredictorTrait
  19. final val customMetric: StringArrayParam

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    Definition Classes
    TrainingParamsTrait
  20. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  21. final val depth: IntParam

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    Definition Classes
    TrainingParamsTrait
  22. final val diffusionTemperature: FloatParam

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    Definition Classes
    TrainingParamsTrait
  23. final val earlyStoppingRounds: IntParam

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    Definition Classes
    TrainingParamsTrait
  24. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  25. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  26. final val evalMetric: Param[String]

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    Definition Classes
    TrainingParamsTrait
  27. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  28. def explainParams(): String

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    Definition Classes
    Params
  29. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

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    Attributes
    protected
    Definition Classes
    Predictor
  30. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  31. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  32. final val featureBorderType: EnumParam[EBorderSelectionType]

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    Definition Classes
    QuantizationParamsTrait
  33. final val featureWeightsList: DoubleArrayParam

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    Definition Classes
    TrainingParamsTrait
  34. final val featureWeightsMap: OrderedStringMapParam[Double]

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    Definition Classes
    TrainingParamsTrait
  35. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol
  36. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  37. final val firstFeatureUsePenaltiesList: DoubleArrayParam

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    Definition Classes
    TrainingParamsTrait
  38. final val firstFeatureUsePenaltiesMap: OrderedStringMapParam[Double]

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    Definition Classes
    TrainingParamsTrait
  39. def fit(trainPool: Pool, evalPools: Array[Pool] = Array[Pool]()): CatBoostRegressionModel

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    Additional variant of fit method that accepts CatBoost's Pool s and allows to specify additional datasets for computing evaluation metrics and overfitting detection similarily to CatBoost's other APIs.

    Additional variant of fit method that accepts CatBoost's Pool s and allows to specify additional datasets for computing evaluation metrics and overfitting detection similarily to CatBoost's other APIs.

    trainPool

    The input training dataset.

    evalPools

    The validation datasets used for the following processes:

    • overfitting detector
    • best iteration selection
    • monitoring metrics' changes
    returns

    trained model

    Definition Classes
    CatBoostPredictorTrait
  40. def fit(dataset: Dataset[_]): CatBoostRegressionModel

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    Definition Classes
    Predictor → Estimator
  41. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[CatBoostRegressionModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  42. def fit(dataset: Dataset[_], paramMap: ParamMap): CatBoostRegressionModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  43. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): CatBoostRegressionModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  44. final val foldLenMultiplier: FloatParam

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    Definition Classes
    TrainingParamsTrait
  45. final val foldPermutationBlock: IntParam

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    Definition Classes
    TrainingParamsTrait
  46. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  47. final def getAllowConstLabel: Boolean

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    Definition Classes
    TrainingParamsTrait
  48. final def getAllowWritingFiles: Boolean

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    Definition Classes
    TrainingParamsTrait
  49. final def getApproxOnFullHistory: Boolean

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    Definition Classes
    TrainingParamsTrait
  50. final def getBaggingTemperature: Float

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    Definition Classes
    TrainingParamsTrait
  51. final def getBestModelMinTrees: Int

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    Definition Classes
    TrainingParamsTrait
  52. final def getBootstrapType: EBootstrapType

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    Definition Classes
    TrainingParamsTrait
  53. final def getBorderCount: Int

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    Definition Classes
    QuantizationParamsTrait
  54. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  55. final def getCustomMetric: Array[String]

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    Definition Classes
    TrainingParamsTrait
  56. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  57. final def getDepth: Int

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    Definition Classes
    TrainingParamsTrait
  58. final def getDiffusionTemperature: Float

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    Definition Classes
    TrainingParamsTrait
  59. final def getEarlyStoppingRounds: Int

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    Definition Classes
    TrainingParamsTrait
  60. final def getEvalMetric: String

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    Definition Classes
    TrainingParamsTrait
  61. final def getFeatureBorderType: EBorderSelectionType

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    Definition Classes
    QuantizationParamsTrait
  62. final def getFeatureWeightsList: Array[Double]

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    Definition Classes
    TrainingParamsTrait
  63. final def getFeatureWeightsMap: LinkedHashMap[String, Double]

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    Definition Classes
    TrainingParamsTrait
  64. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  65. final def getFirstFeatureUsePenaltiesList: Array[Double]

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    Definition Classes
    TrainingParamsTrait
  66. final def getFirstFeatureUsePenaltiesMap: LinkedHashMap[String, Double]

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    Definition Classes
    TrainingParamsTrait
  67. final def getFoldLenMultiplier: Float

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    Definition Classes
    TrainingParamsTrait
  68. final def getFoldPermutationBlock: Int

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    Definition Classes
    TrainingParamsTrait
  69. final def getHasTime: Boolean

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    Definition Classes
    TrainingParamsTrait
  70. final def getIgnoredFeaturesIndices: Array[Int]

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    Definition Classes
    IgnoredFeaturesParams
  71. final def getIgnoredFeaturesNames: Array[String]

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    Definition Classes
    IgnoredFeaturesParams
  72. final def getInputBorders: String

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    Definition Classes
    QuantizationParamsTrait
  73. final def getIterations: Int

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    Definition Classes
    TrainingParamsTrait
  74. final def getL2LeafReg: Float

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    Definition Classes
    TrainingParamsTrait
  75. final def getLabelCol: String

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    Definition Classes
    HasLabelCol
  76. final def getLeafEstimationBacktracking: ELeavesEstimationStepBacktracking

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    Definition Classes
    TrainingParamsTrait
  77. final def getLeafEstimationIterations: Int

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    Definition Classes
    TrainingParamsTrait
  78. final def getLeafEstimationMethod: ELeavesEstimation

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    Definition Classes
    TrainingParamsTrait
  79. final def getLearningRate: Float

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    Definition Classes
    TrainingParamsTrait
  80. final def getLoggingLevel: ELoggingLevel

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    Definition Classes
    TrainingParamsTrait
  81. final def getLossFunction: String

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    Definition Classes
    TrainingParamsTrait
  82. final def getMetricPeriod: Int

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    Definition Classes
    TrainingParamsTrait
  83. final def getModelShrinkMode: EModelShrinkMode

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    Definition Classes
    TrainingParamsTrait
  84. final def getModelShrinkRate: Float

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    Definition Classes
    TrainingParamsTrait
  85. final def getMvsReg: Float

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    Definition Classes
    TrainingParamsTrait
  86. final def getNanMode: ENanMode

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    Definition Classes
    QuantizationParamsTrait
  87. final def getOdPval: Float

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    Definition Classes
    TrainingParamsTrait
  88. final def getOdType: EOverfittingDetectorType

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    Definition Classes
    TrainingParamsTrait
  89. final def getOdWait: Int

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    Definition Classes
    TrainingParamsTrait
  90. final def getOneHotMaxSize: Int

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    Definition Classes
    TrainingParamsTrait
  91. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  92. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  93. final def getPenaltiesCoefficient: Float

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    Definition Classes
    TrainingParamsTrait
  94. final def getPerFloatFeatureQuantizaton: Array[String]

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    Definition Classes
    QuantizationParamsTrait
  95. final def getPerObjectFeaturePenaltiesList: Array[Double]

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    Definition Classes
    TrainingParamsTrait
  96. final def getPerObjectFeaturePenaltiesMap: LinkedHashMap[String, Double]

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    Definition Classes
    TrainingParamsTrait
  97. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  98. final def getRandomSeed: Int

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    Definition Classes
    TrainingParamsTrait
  99. final def getRandomStrength: Float

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    Definition Classes
    TrainingParamsTrait
  100. final def getRsm: Float

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    Definition Classes
    TrainingParamsTrait
  101. final def getSamplingFrequency: ESamplingFrequency

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    Definition Classes
    TrainingParamsTrait
  102. final def getSamplingUnit: ESamplingUnit

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    Definition Classes
    TrainingParamsTrait
  103. final def getSaveSnapshot: Boolean

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    Definition Classes
    TrainingParamsTrait
  104. final def getScoreFunction: EScoreFunction

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    Definition Classes
    TrainingParamsTrait
  105. final def getSnapshotFile: String

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    Definition Classes
    TrainingParamsTrait
  106. final def getSnapshotInterval: Duration

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    Definition Classes
    TrainingParamsTrait
  107. final def getSparkPartitionCount: Int

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    Definition Classes
    TrainingParamsTrait
  108. final def getSubsample: Float

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    Definition Classes
    TrainingParamsTrait
  109. final def getThreadCount: Int

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    Definition Classes
    ThreadCountParams
  110. final def getTrainDir: String

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    Definition Classes
    TrainingParamsTrait
  111. final def getUseBestModel: Boolean

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    Definition Classes
    TrainingParamsTrait
  112. final def getWeightCol: String

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    Definition Classes
    HasWeightCol
  113. final def getWorkerInitializationTimeout: Duration

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    Definition Classes
    TrainingParamsTrait
  114. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  115. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  116. final val hasTime: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  117. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  118. final val ignoredFeaturesIndices: IntArrayParam

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    Definition Classes
    IgnoredFeaturesParams
  119. final val ignoredFeaturesNames: StringArrayParam

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    Definition Classes
    IgnoredFeaturesParams
  120. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  121. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  122. final val inputBorders: Param[String]

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    Definition Classes
    QuantizationParamsTrait
  123. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  124. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  125. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  126. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  127. final val iterations: IntParam

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    Definition Classes
    TrainingParamsTrait
  128. final val l2LeafReg: FloatParam

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    Definition Classes
    TrainingParamsTrait
  129. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol
  130. final val leafEstimationBacktracking: EnumParam[ELeavesEstimationStepBacktracking]

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    Definition Classes
    TrainingParamsTrait
  131. final val leafEstimationIterations: IntParam

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    Definition Classes
    TrainingParamsTrait
  132. final val leafEstimationMethod: EnumParam[ELeavesEstimation]

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    Definition Classes
    TrainingParamsTrait
  133. final val learningRate: FloatParam

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    Definition Classes
    TrainingParamsTrait
  134. def log: Logger

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    protected
    Definition Classes
    Logging
  135. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  136. def logDebug(msg: ⇒ String): Unit

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    protected
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    Logging
  137. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
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    Logging
  138. def logError(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  139. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
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    Logging
  140. def logInfo(msg: ⇒ String): Unit

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    protected
    Definition Classes
    Logging
  141. def logName: String

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    protected
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    Logging
  142. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  143. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging
  144. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  145. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  146. final val loggingLevel: EnumParam[ELoggingLevel]

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    Definition Classes
    TrainingParamsTrait
  147. final val lossFunction: Param[String]

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    Definition Classes
    TrainingParamsTrait
  148. final val metricPeriod: IntParam

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    Definition Classes
    TrainingParamsTrait
  149. final val modelShrinkMode: EnumParam[EModelShrinkMode]

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    Definition Classes
    TrainingParamsTrait
  150. final val modelShrinkRate: FloatParam

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    Definition Classes
    TrainingParamsTrait
  151. final val mvsReg: FloatParam

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    Definition Classes
    TrainingParamsTrait
  152. final val nanMode: EnumParam[ENanMode]

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    Definition Classes
    QuantizationParamsTrait
  153. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  154. final def notify(): Unit

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    Definition Classes
    AnyRef
  155. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  156. final val odPval: FloatParam

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    Definition Classes
    TrainingParamsTrait
  157. final val odType: EnumParam[EOverfittingDetectorType]

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    Definition Classes
    TrainingParamsTrait
  158. final val odWait: IntParam

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    Definition Classes
    TrainingParamsTrait
  159. final val oneHotMaxSize: IntParam

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    Definition Classes
    TrainingParamsTrait
  160. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  161. final val penaltiesCoefficient: FloatParam

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    Definition Classes
    TrainingParamsTrait
  162. final val perFloatFeatureQuantizaton: StringArrayParam

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    Definition Classes
    QuantizationParamsTrait
  163. final val perObjectFeaturePenaltiesList: DoubleArrayParam

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    Definition Classes
    TrainingParamsTrait
  164. final val perObjectFeaturePenaltiesMap: OrderedStringMapParam[Double]

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    Definition Classes
    TrainingParamsTrait
  165. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  166. def preprocessBeforeTraining(quantizedTrainPool: Pool, quantizedEvalPools: Array[Pool]): (Pool, Array[Pool], JObject, CtrsContext)

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    override in descendants if necessary

    override in descendants if necessary

    returns

    (preprocessedTrainPool, preprocessedEvalPools, catBoostJsonParams, ctrsContext)

    Attributes
    protected
    Definition Classes
    CatBoostPredictorTrait
  167. final val randomSeed: IntParam

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    Definition Classes
    TrainingParamsTrait
  168. final val randomStrength: FloatParam

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    Definition Classes
    TrainingParamsTrait
  169. final val rsm: FloatParam

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    Definition Classes
    TrainingParamsTrait
  170. final val samplingFrequency: EnumParam[ESamplingFrequency]

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    Definition Classes
    TrainingParamsTrait
  171. final val samplingUnit: EnumParam[ESamplingUnit]

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    Definition Classes
    TrainingParamsTrait
  172. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  173. final val saveSnapshot: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  174. final val scoreFunction: EnumParam[EScoreFunction]

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    Definition Classes
    TrainingParamsTrait
  175. final def set(paramPair: ParamPair[_]): CatBoostRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  176. final def set(param: String, value: Any): CatBoostRegressor.this.type

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    Attributes
    protected
    Definition Classes
    Params
  177. final def set[T](param: Param[T], value: T): CatBoostRegressor.this.type

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    Definition Classes
    Params
  178. final def setAllowConstLabel(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  179. final def setAllowWritingFiles(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  180. final def setApproxOnFullHistory(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  181. final def setBaggingTemperature(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  182. final def setBestModelMinTrees(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  183. final def setBootstrapType(value: EBootstrapType): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  184. final def setBorderCount(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    QuantizationParamsTrait
  185. final def setCustomMetric(value: Array[String]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  186. final def setDefault(paramPairs: ParamPair[_]*): CatBoostRegressor.this.type

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    protected
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    Params
  187. final def setDefault[T](param: Param[T], value: T): CatBoostRegressor.this.type

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    Attributes
    protected
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    Params
  188. final def setDepth(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  189. final def setDiffusionTemperature(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  190. final def setEarlyStoppingRounds(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  191. final def setEvalMetric(value: String): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  192. final def setFeatureBorderType(value: EBorderSelectionType): CatBoostRegressor.this.type

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    Definition Classes
    QuantizationParamsTrait
  193. final def setFeatureWeightsList(value: Array[Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  194. final def setFeatureWeightsMap(value: LinkedHashMap[String, Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  195. def setFeaturesCol(value: String): CatBoostRegressor

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    Definition Classes
    Predictor
  196. final def setFirstFeatureUsePenaltiesList(value: Array[Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  197. final def setFirstFeatureUsePenaltiesMap(value: LinkedHashMap[String, Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  198. final def setFoldLenMultiplier(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  199. final def setFoldPermutationBlock(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  200. final def setHasTime(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  201. final def setIgnoredFeaturesIndices(value: Array[Int]): CatBoostRegressor.this.type

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    Definition Classes
    IgnoredFeaturesParams
  202. final def setIgnoredFeaturesNames(value: Array[String]): CatBoostRegressor.this.type

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    Definition Classes
    IgnoredFeaturesParams
  203. final def setInputBorders(value: String): CatBoostRegressor.this.type

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    Definition Classes
    QuantizationParamsTrait
  204. final def setIterations(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  205. final def setL2LeafReg(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  206. def setLabelCol(value: String): CatBoostRegressor

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    Definition Classes
    Predictor
  207. final def setLeafEstimationBacktracking(value: ELeavesEstimationStepBacktracking): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  208. final def setLeafEstimationIterations(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  209. final def setLeafEstimationMethod(value: ELeavesEstimation): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  210. final def setLearningRate(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  211. final def setLoggingLevel(value: ELoggingLevel): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  212. final def setLossFunction(value: String): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  213. final def setMetricPeriod(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  214. final def setModelShrinkMode(value: EModelShrinkMode): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  215. final def setModelShrinkRate(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  216. final def setMvsReg(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  217. final def setNanMode(value: ENanMode): CatBoostRegressor.this.type

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    Definition Classes
    QuantizationParamsTrait
  218. final def setOdPval(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  219. final def setOdType(value: EOverfittingDetectorType): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  220. final def setOdWait(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  221. final def setOneHotMaxSize(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  222. final def setPenaltiesCoefficient(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  223. final def setPerFloatFeatureQuantizaton(value: Array[String]): CatBoostRegressor.this.type

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    Definition Classes
    QuantizationParamsTrait
  224. final def setPerObjectFeaturePenaltiesList(value: Array[Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  225. final def setPerObjectFeaturePenaltiesMap(value: LinkedHashMap[String, Double]): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  226. def setPredictionCol(value: String): CatBoostRegressor

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    Definition Classes
    Predictor
  227. final def setRandomSeed(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  228. final def setRandomStrength(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  229. final def setRsm(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  230. final def setSamplingFrequency(value: ESamplingFrequency): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  231. final def setSamplingUnit(value: ESamplingUnit): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  232. final def setSaveSnapshot(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  233. final def setScoreFunction(value: EScoreFunction): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  234. final def setSnapshotFile(value: String): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  235. final def setSnapshotInterval(value: Duration): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  236. final def setSparkPartitionCount(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  237. final def setSubsample(value: Float): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  238. final def setThreadCount(value: Int): CatBoostRegressor.this.type

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    Definition Classes
    ThreadCountParams
  239. final def setTrainDir(value: String): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  240. final def setUseBestModel(value: Boolean): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  241. final def setWorkerInitializationTimeout(value: Duration): CatBoostRegressor.this.type

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    Definition Classes
    TrainingParamsTrait
  242. final val snapshotFile: Param[String]

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    Definition Classes
    TrainingParamsTrait
  243. final val snapshotInterval: DurationParam

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    Definition Classes
    TrainingParamsTrait
  244. final val sparkPartitionCount: IntParam

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    Definition Classes
    TrainingParamsTrait
  245. final val subsample: FloatParam

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    Definition Classes
    TrainingParamsTrait
  246. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  247. final val threadCount: IntParam

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    Definition Classes
    ThreadCountParams
  248. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  249. def train(dataset: Dataset[_]): CatBoostRegressionModel

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    Attributes
    protected
    Definition Classes
    CatBoostPredictorTrait → Predictor
  250. final val trainDir: Param[String]

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    Definition Classes
    TrainingParamsTrait
  251. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Predictor → PipelineStage
  252. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  253. val uid: String

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    Definition Classes
    CatBoostRegressor → Identifiable
  254. final val useBestModel: BooleanParam

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    Definition Classes
    TrainingParamsTrait
  255. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
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    PredictorParams
  256. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  257. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  258. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  259. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol
  260. final val workerInitializationTimeout: DurationParam

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    Definition Classes
    TrainingParamsTrait
  261. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from TrainingParamsTrait

Inherited from QuantizationParamsTrait

Inherited from ThreadCountParams

Inherited from IgnoredFeaturesParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from DatasetParamsTrait

Inherited from HasWeightCol

Inherited from Regressor[Vector, CatBoostRegressor, CatBoostRegressionModel]

Inherited from Predictor[Vector, CatBoostRegressor, CatBoostRegressionModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[CatBoostRegressionModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped